Job Summary:
Tesla is a leading electric vehicle and clean energy company, and they are seeking a Data Engineer for their Cell Quality team. The role involves supporting diagnostics and analytics activities related to Li-ion cells, leading quality-focused projects, and analyzing field reliability data to improve product quality.
Responsibilities:
• Perform extensive data study on all field failures and correlation studies with upstream cell manufacturing process. Create test models to ensure proper detection and outlier rejection criteria for field rejects
• Identify trends from field return data and quantify reliability risks for diagnostics of key critical signals/metrics and potential deviation from cell/firmware specifications
• Create data visualizations to communicate analysis results with cross-functional teams and drive decision making of key failure modes on field
• Analyze Field Reliability/Quality data for cell related failures and failure modes to predict expected failure rates, affected populations, verify effectiveness of the corrective actions at Tesla and at suppliers
• Produce cogent and intelligible data visualizations, author technical presentations and summarize high-impact technical findings with strong data analysis package
Qualifications:
Required:
• Bachelor's Degree in Data Science, Data Analytics, Computer Science, Industrial Engineering, Mechanical Engineering, Materials Science, or equivalent experience
• 2+ years of applied industry experience in relevant role
• Strong SQL, Python queries for data analytics, applied knowledge of statistical analysis (like hypothesis testing), time series analysis, working knowledge of reliability statistics such as Weibull Analysis
• Experience building optimal ETL data pipelines across structured and unstructured data sources
• Strong data visualization skills Tableau/JMP, and Python packages such as seaborn, matplotlib
• Working knowledge of Big Data technologies like Hadoop ecosystem (Spark, HDFS, Presto etc.)
• Excellent verbal and written communication skills - ability to break down complex technical topics and deliver visual technical presentations (e.g., PowerPoint) to groups of engineers, scientists, and technicians
• Experience to recommend statistical/analytical models based on manufacturing data and process setup changes to improve quality of product
• Quality control experience in test/manufacturing environment
• Design of experiments for process optimization
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.